Landscape Variables Research Articles

Patterns of Zoological Diversity in Iran—A Review

Iran is a country characterized by high biodiversity and complex biogeographic patterns. Its diverse landscape and steep climatic gradients have resulted in significant faunal diversity and high level of endemism. To better understand these patterns, we investigated the historical environmental drivers that have shaped Iran’s current geological and climatological conditions, and, consequently, have shaped the current zoological distribution patterns. Furthermore, we provide an overview of the country’s zoological diversity and zoogeography by reviewing published studies on its fauna. We analyzed nearly all available catalogs, updated checklists, and relevant publications, and synthesized them to present a comprehensive overview of Iran’s biodiversity. Our review reports approximately 37,500 animal species for Iran. We also demonstrated that the country serves as a biogeographic transition zone among three zoogeographical realms: the Palearctic, Oriental, and Saharo-Arabian, where distinct faunal elements intersect. This biogeographic complexity has made it challenging to delineate clear zoogeographical zones, leading to varying classifications depending on the taxon. The uplift of mountain ranges, in particular, has played a crucial role in shaping faunal diversity by serving as barriers, corridors, and glacial refugia. These mountains are largely the result of orogeny and plate collisions during the Mesozoic and Cenozoic eras, coupled with the development of the Tethyan Sea and the uplift of several ranges during the Miocene. Despite these insights, our understanding of biodiversity distribution in Iran remains incomplete, even for some well-studied taxa, such as certain vertebrate families and arthropods. We highlight the existing gaps in knowledge regarding zoogeographical patterns and propose approaches to address these gaps, particularly concerning less-studied species and the highly diverse group of insects.

Demystifying multilingual LIS journals in Scopus: Languages, coverage, metrics, and implications

This study aimed to investigate the languages, countries, geographic distribution, and commonly used journal metrics of multilingual Library and Information Science (LIS) journals indexed in Scopus. The Scimago Journal Rank (SJR) portal was used as a proxy for Scopus-indexed LIS journals. Through examination of the homepages of 249 LIS journals listed in SJR, 42 multilingual LIS journals were identified. For this study, multilingual journals were defined as those publishing in a combination of English and other languages. The findings revealed that although English-only journals have historically dominated the field, a significant number of multilingual journals have been indexed in Scopus over the past two decades. The 42 identified multilingual journals span 25 countries and encompass 18 languages, reflecting a diverse linguistic landscape in LIS scholarship. Notably, 67% are Open Access (OA) and affiliated with major publishers, including university presses. Spain and Brazil emerge as key players, accounting for 27% of all identified multilingual journals, highlighting the importance of their regional languages in LIS scholarship. However, the study also uncovered disparities in journal metrics and rankings, with multilingual journals consistently scoring lower than their English-only counterparts. Despite efforts to include regional and local journals in major databases, these results underscore the persistent challenges multilingual publications face in achieving and maintaining Scopus indexing.

谈判: Mega-games as Catalysts for Deep Experiential Learning in Higher Education

The study deepens into the transformative potential of mega-games as an innovative educational tool, offering profound and enriching learning experiences across diverse educational landscapes. Mega-games represent a fusion of various elements, including role-play, social interaction, simulations, rule-based systems, economic dynamics, political scenarios, and decision-making processes, all woven into an immersive narrative fabric. Through experiential learning, these games provide a unique platform for students to engage deeply with complex subject matter. This research centres on the application of mega-games within the context of sixth-semester students pursuing a degree in International Business at the Mexico State Campus of Tecnológico de Monterrey. Specifically, the study focuses on the simulation exercise titled 谈判 Tánpàn, which aims to immerse students in negotiation scenarios regarding the final price of a digital device manufactured in China. Drawing upon foundational principles outlined in Jesse Schell's book on game design, the exercise is meticulously designed to emulate real-world negotiation dynamics. The integration of game design principles, coupled with positive student feedback, underscores the efficacy of mega-games as potent educational instruments. Through rigorous analysis, the study unveils the profound impact of experiential learning on students' comprehension and application of negotiation techniques. By simulating authentic real-world scenarios, students are empowered to develop critical problem-solving acumen, hone their analytical thinking prowess, and refine their decision-making aptitude. Moreover, the immersive nature of mega-games fosters a dynamic learning environment that transcends traditional pedagogical approaches, fostering a holistic understanding of intricate subject matter. The success of the 谈判 Tánpàn simulation exercise serves as a testament to the potential of mega-games to revolutionize educational paradigms. It signals a burgeoning opportunity to expand the horizons of mega-games across various academic disciplines and participant cohorts. This study advocates for the widespread integration of mega-games as educational resources within Higher Education, championing their capacity to engender profound learning experiences and cultivate essential skills, heralding a new era of dynamic, immersive, and effective educational methodologies in diverse educational settings.

Success and opportunities of the American Academy of Pediatrics Marshall Klaus research grant program in neonatal-perinatal medicine.

Physician-scientists are a crucial link between clinical practice and research. The American Academy of Pediatrics (AAP) initiated the Marshall Klaus Perinatal Research Award to enhance the development of research skills among physicians training in Neonatal-Perinatal Medicine. In this study, we sought to identify trends in funding along with geographical and demographic variables of the applicants and mentees and assess the applicants' scholarly productivity and funding from the National Institutes of Health (NIH). We reviewed the data of applicants and awardees from 2015-2024. We found that basic science applications had a higher funding likelihood than clinical/translational applications. The geographical distribution of awardees is skewed. There was a significant association between awardee status and K08 or K23 funding attainment. Future efforts should support more equitable award distribution and a diverse research landscape in neonatal-perinatal medicine.

High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysis

BackgroundNamibia, a low malaria transmission country targeting elimination, has made substantial progress in reducing malaria burden through improved case management, widespread indoor residual spraying and distribution of insecticidal nets. The country's diverse landscape includes regions with varying population densities and geographical niches, with the north of the country prone to periodic outbreaks. As Namibia approaches elimination, malaria transmission has clustered into distinct foci, the identification of which is essential for deployment of targeted interventions to attain the southern Africa Elimination Eight Initiative targets by 2030. Geospatial modelling provides an effective mechanism to identify these foci, synthesizing aggregate routinely collected case counts with gridded environmental covariates to downscale case data into high-resolution risk maps.MethodsThis study introduces innovative infectious disease mapping techniques to generate high-resolution spatio-temporal risk maps for malaria in Namibia. A two-stage approach is employed to create maps using statistical Bayesian modelling to combine environmental covariates, population data, and clinical malaria case counts gathered from the routine surveillance system between 2018 and 2021.ResultsA fine-scale spatial endemicity surface was produced for annual average incidence, followed by a spatio-temporal modelling of seasonal fluctuations in weekly incidence and aggregated further to district level. A seasonal profile was inferred across most districts of the country, where cases rose from late December/early January to a peak around early April and then declined rapidly to a low level from July to December. There was a high degree of spatial heterogeneity in incidence, with much higher rates observed in the northern part and some local epidemic occurrence in specific districts sporadically.ConclusionsWhile the study acknowledges certain limitations, such as population mobility and incomplete clinical case reporting, it underscores the importance of continuously refining geostatistical techniques to provide timely and accurate support for malaria elimination efforts. The high-resolution spatial risk maps presented in this study have been instrumental in guiding the Namibian Ministry of Health and Social Services in prioritizing and targeting malaria prevention efforts. This two-stage spatio-temporal approach offers a valuable tool for identifying hotspots and monitoring malaria risk patterns, ultimately contributing to the achievement of national and sub-national elimination goals.

Arid, mosaic environments during the Plio-Pleistocene transition and early hominin dispersals in northern Africa

The earliest archaeological evidence from northern Africa dates to ca. 2.44 Ma. Nevertheless, the palaeoenvironmental setting of hominins living in this part of the continent at the Plio-Pleistocene transition remains poorly documented, particularly in comparison to eastern and southern Africa. The Guefaït-4 fossil site in eastern Morocco sheds light on our knowledge of palaeoenvironments in northern Africa. Our study reveals the oldest known presence of C4 plants in the northern part of the continent in a mosaic landscape that includes open grasslands, forested areas, wetlands, and seasonal aridity. This diverse landscape and resource availability likely facilitated the occupation of the region by mammals, including potentially hominins. Our regional-scale study provides a complementary perspective to global-scale studies and highlights the importance of considering the diversity of microhabitats within a given region when studying species-dispersal dynamics.

Landscape Heterogeneity Drives Genetic Diversity in the Highly Dispersive Moss Funaria hygrometrica Hedw.

Funaria hygrometrica, a cosmopolitan moss species known for its remarkable dispersal capacity, was selected as the focal organism to investigate the relationship between landscape features and genetic diversity. Our study encompassed samples collected from two distinct regions: the Spanish Sierra Nevada Mountains (SN), characterized by a diverse landscape with an altitudinal difference of nearly 3500 m within a short distance, and the Murcia Region (MU) in Southeast Spain, characterized by a uniform landscape akin to the lowlands of Sierra Nevada. Genotyping analysis targeted three genetic regions: the nuclear ribosomal internal transcribed spacer (nrITS), the chloroplast rps3-rpl16 region, and the mitochondrial rpl5-rpl16 spacer. Through this analysis, we aimed to assess genetic variability and population structure across these environmentally contrasting regions. The Sierra Nevada populations exhibited significantly higher haplotype diversity (Hd = 0.78 in the highlands and 0.67 overall) and nucleotide diversity (π% = 0.51 for ITS1) compared to the Murcia populations (Hd = 0.35, π% = 0.14). Further investigation unveiled that samples from the lowlands of Sierra Nevada showed a closer genetic affinity to Murcia than to the highlands of Sierra Nevada. Furthermore, the genetic differentiation between highland and lowland populations was significant (ΦST = 0.55), with partial Mantel tests and ResistanceGA analysis revealing a strong correlation between ITS1-based genetic diversity and landscape features, including altitude and bioclimatic variables. Our study elucidated potential explanations for the observed genetic structuring within F. hygrometrica samples' populations. These included factors such as a high selfing rate within restricted habitats, a limited average dispersal distance of spores, hybrid depression affecting partially incompatible genetic lineages, and recent migration facilitated via human activities into formerly unoccupied areas of the dry zones of Southeast Spain.

Development of human capital in Kazakhstan’s higher education institutions: financial investments, faculty qualifications, and research output (2018–2022)

This study examines the development of human capital in higher education institutions (HEIs) in Kazakhstan from 2018 to 2022, focusing on financial investments, infrastructure support, faculty qualifications, research output, and student outcomes. Utilizing comprehensive data from official sources, the analysis reveals significant growth in financial commitment to higher education, with substantial increases in expenditures, revenues, and investments in educational infrastructure. The data indicate a diverse and increasingly qualified faculty, though gender imbalances persist at senior academic levels. Research output, as measured by publications indexed in Scopus, has shown consistent growth, reflecting enhanced research productivity. Student performance metrics, including graduation rates and employment outcomes, highlight the effective preparation of graduates for the job market, with rising average salaries and employment rates. Innovation activities within HEIs, such as patent applications and trademark registrations, demonstrate a dynamic but variable landscape. The study identifies key areas for improvement, including the need for sustained investment, policies promoting gender equality in academia, and support for innovation activities. The findings underscore the importance of aligning educational programs with market needs to further improve graduate employability. This study provides valuable insights for policymakers and educational leaders to enhance the quality and competitiveness of higher education in Kazakhstan, contributing to the country’s socio-economic development.

Insights and networks: methodological assessment and scientometric analysis of economic evaluations in dentistry

IntroductionAssessing the methodological quality of economic evaluations (EEs) is crucial for evidence-based decision-making. The study aimed to evaluate EEs in restorative dentistry and endodontics, while also analyzing the scientific landscape of researchers and publications through co-authorship and citation network analysis providing an insight into the distribution of scientific expertise.MethodologyA systematic search for relevant articles from 2012 to 2022 was conducted using PubMed, Scopus, and EBSCO. The ten-point Drummond checklist was used to appraise the methodological quality of included studies. Bibliometric data for network analysis were extracted from the Dimensions database and visualized using VOSviewer software.ResultsOf the 37 articles, 81.08% scored good, 16.21% average, and 2.7% poor on the methodological rating scale. Most of the included studies were in Q1 journals, with limited representation in Q2 and Q3 journals. Compliance was highest in Q2 journals (95%), followed by Q1 (88.36%), while it dropped to 40% for Q3 journals. Co-authorship analysis revealed a dense network of researchers, with Prof. Falk Schwendicke V. having a significant influence. Moreover, the Journal of Dentistry had the highest impact, followed by Journal of Endodontics and BMC Oral Health.ConclusionsDespite a diverse scientific landscape, participation from developing countries was limited emphasizing the need for inclusivity and diversity in the scientific network. While the quantity of good-quality studies was encouraging, the overall quality of evidence remains paramount for decision-making in healthcare policy and practice. Therefore, continuous efforts to improve methodological rigor and reporting practices are essential to contribute robust evidence.

Gender, Racial, and Ethnic Diversity in Plastic Surgery: Evaluating Effective Initiatives and Identifying Areas for Improvement.

Women and racial and ethnic minorities have historically been underrepresented in medicine, making up a minority of all physicians and a smaller subset of plastic surgeons. Furthermore, these groups represent an even smaller fraction of plastic surgeons in research and leadership roles. Parallel to the general recognition of the importance of increasing diversity in the medical field, there has been a surge in the literature detailing current issues and highlighting potential areas for intervention within plastic surgery. Various initiatives have been piloted to address the underrepresentation of certain demographic groups in the field. These have largely targeted the medical student level, with a focus on increasing mentorship, targeted recruitment, exposure to the field, and scholarly opportunities. With the growing body of research conducted in this realm, this review seeks to synthesize our understanding of the modern landscape of gender, racial, and ethnic diversity within plastic surgery, with an emphasis on identifying successful initiatives that have positively impacted representation and inclusivity.

Navigating Uncertainty: Adapting Guidance for Mental Health During the COVID-19 Public Health Emergency & the Crucial Role of Bi-directional Feedback.

In response to the COVID-19 public health emergency, state and local mental health authorities rapidly developed and disseminated guidance to community mental health agencies. While tailored communication is effective to reach target audiences under usual circumstances, strategies to facilitate the implementation of guidance amidst a rapidly evolving public health emergency are not well understood. This project sought to understand factors informing decision-making about adaptations to guidance, and strategies used to disseminate and facilitate guidance implementation among system-level community partners in OnTrackNY Coordinated Specialty Care (CSC) programs for early psychosis. Semi-structured interviews were conducted with New York State Office of Mental Health (NYS OMH) state and local mental health authorities including state leaders (n = 3) and NYS OMH field office directors (n = 4), OnTrackNY program directors (n = 4), and leadership and trainers of an intermediary organization, OnTrack Central (n = 12). Interviews were analyzed using content analysis. Code reports relevant to guidance decision-making and dissemination were reviewed to identify emerging themes. For state and local mental health authorities, decision-making was influenced by changing COVID-19 risk levels, need for alignment between federal and local guidance, and balancing support for workforce capacity and mental health service continuity. For OnTrackNY program directors, decision-making was influenced by internal infrastructure and processes (e.g., program autonomy), availability of resources (e.g., technology), and perspective on managing risk and uncertainty (e.g., COVID-19, regulatory waiver expiration). For OnTrack Central, decision-making focused on balancing CSC model fidelity with OnTrackNY team capacity and resources. Dissemination of guidance consisted of mass and targeted strategies. Information flow was bidirectional such that top-down dissemination of guidance (e.g., from state mental health authorities to providers) was informed and refined with bottom-up feedback (e.g., from providers to state leadership) through surveys and professional forums (e.g., COVID-19 town halls, provider learning collaboratives). Unlike a planned approach to disseminate new policies, public health emergencies create variable landscapes that may warrant a deeper understanding of how guidance may be adapted to fit rapidly evolving community partner needs. Findings may inform efforts to identify processes that contribute to adaptation and dissemination of guidance for mental health during future public health emergencies.

Medical geographical zoning in part of Uzbekistan – A regional synthesis

This study delves into the nuanced realm of medical geography, focusing on the intricate interplay between geographical factors and public health outcomes in the Samarkand and Navoi regions of Uzbekistan. Over the decades, the field of medical geography has evolved, embracing a holistic perspective that integrates ecological, socioeconomic, and accessibility elements to elucidate the complex dynamics of disease distribution and healthcare provision. Utilizing a comprehensive methodology, this research employs a combination of GIS tools, statistical analysis, and expert input to delineate medical geographical zones within the study area. By synthesizing data from diverse sources including administrative records, environmental assessments, and demographic surveys, the study constructs a detailed picture of the region's health landscape. The analysis revealed five primary medical geographical zones and a sub-zone, each characterized by distinct natural features, economic activities, and health challenges. From the bustling urban centers of Samarkand and Navoi to the remote desert expanses of Uzguduk - Tomdi North, each zone presents unique opportunities and obstacles for healthcare delivery and environmental management. Key findings highlight the disproportionate distribution of healthcare resources, with densely populated areas in the southern part of the study area benefitting from greater accessibility to medical facilities compared to remote rural regions. Moreover, environmental factors such as air pollution, water contamination, and climatic variability emerge as significant determinants of public health, exacerbating respiratory ailments, cardiovascular diseases, and other health conditions. The study underscores the importance of spatial analysis and interdisciplinary collaboration in addressing complex health issues within diverse geographical landscapes. By mapping medical geographical zones and understanding their specific health concerns, policymakers and healthcare professionals can develop targeted interventions to improve healthcare access, mitigate environmental hazards, and promote community well-being. In conclusion, this research contributes valuable insights to the field of medical geography, shedding light on the multifaceted interactions between geography, environment, and health in the Samarkand and Navoi regions of Uzbekistan. Moving forward, further research and collaborative efforts are needed to address the underlying determinants of health disparities and foster sustainable development in the region.

Innovative COVID-19 Point-of-Care Diagnostics Suitable for Tuberculosis Diagnosis: A Scoping Review.

Rapid and accurate point-of-care (POC) tuberculosis (TB) diagnostics are crucial to bridge the TB diagnostic gap. Leveraging recent advancements in COVID-19 diagnostics, we explored adapting commercially available POC SARS-CoV-2 tests for TB diagnosis in line with the World Health Organization (WHO) target product profiles (TPPs). A scoping review was conducted following PRISMA-ScR guidelines to systematically map POC antigen and molecular SARS-CoV-2 diagnostic tests potentially meeting the TPPs for TB diagnostic tests for peripheral settings. Data were gathered from PubMed/MEDLINE, bioRxiv, medRxiv, publicly accessible in vitro diagnostic test databases, and developer websites up to 23 November 2022. Data on developer attributes, operational characteristics, pricing, clinical performance, and regulatory status were charted using standardized data extraction forms and evaluated with a standardized scorecard. A narrative synthesis of the data is presented. Our search yielded 2003 reports, with 408 meeting eligibility criteria. Among these, we identified 66 commercialized devices: 22 near-POC antigen tests, 1 POC molecular test, 31 near-POC molecular tests, and 12 low-complexity molecular tests potentially adaptable for TB. The highest-scoring SARS-CoV-2 diagnostic tests were the near-POC antigen platform LumiraDx (Roche, Basel, Switzerland), the POC molecular test Lucira Check-It (Pfizer, New York, NY, USA), the near-POC molecular test Visby (Visby, San Jose, CA, USA), and the low-complexity molecular platform Idylla (Biocartis, Lausanne, Switzerland). We highlight a diverse landscape of commercially available diagnostic tests suitable for potential adaptation to peripheral TB testing. This work aims to bolster global TB initiatives by fostering stakeholder collaboration, leveraging SARS-CoV-2 diagnostic technologies for TB, and uncovering new commercial avenues to tackle longstanding challenges in TB diagnosis.

Optimizing energy efficiency through building orientation and building information modelling (BIM) in diverse terrains: A case study in Pakistan

Building orientation plays a key role in enhancing the built environment's energy efficiency through the application of Building Information Modelling (BIM) and energy simulation. Due to their significant global energy consumption, buildings are the focus of energy optimization efforts. This study explores how building orientation, when combined with modern methods like BIM and energy modelling, affects energy usage and savings throughout Pakistan's numerous geographic terrains. The methodology is quantitative, beginning with an extensive review of literature on energy analysis, BIM applications, and urban building energy modelling. Autodesk Insight 360 is employed for energy simulations, which enables the precise prediction of energy consumption by considering various factors such as building orientation, window-to-wall ratios, shading, wall and roof construction, infiltration rates, lighting efficiency, occupancy controls, plug load efficiency, and HVAC systems. Energy simulation of the data indicates that optimizing building orientation alone can result in an average energy savings of 18 %, while combining orientation optimization with improvements in window arrangements and construction materials can achieve savings of up to 30 % over 30 years. The energy simulation results were validated through case study representing typical terrains and building types (commercial and residential), with simulated energy expenditures showing a high correlation (R2 = 0.92) with actual utility bills, adjusted for local energy rates. The findings of this study highlight substantial financial benefits, with potential annual savings ranging from $2500 to $4000 for residential buildings and $10,000 to $15,000 for commercial buildings, depending on building size and location. These results suggest broader applicability to diverse geographical areas and building types in future research. This research contributes significantly to energy-efficient building practices, paving the way for sustainable construction and reduced environmental impact across the varied landscapes of Pakistan.

Spatiotemporal evolution of ecological environmental quality and its dynamic relationships with landscape pattern in the Zhengzhou Metropolitan Area: A perspective based on nonlinear effects and spatiotemporal heterogeneity

Understanding the spatiotemporal dynamics between landscape pattern changes and ecological environmental quality is essential for optimizing regional landscapes and improving the ecological environment. However, previous studies have certain shortcomings in understanding both aspects: On one hand, ecological environment assessments that overlook air quality may be misleading; On the other hand, the spatiotemporal driving mechanisms between landscape patterns and ecological environmental quality are still unclear. This study considers air quality information, refines ecological remote sensing indices, and employs the Random Forest-Multiscale Geographically and Temporally Weighted Regression (RF-MGTWR) analytical framework to reveal the nonlinear effects and spatiotemporal heterogeneity between landscape patterns and ecological environmental quality across the dimensions of aggregation, connectivity, and diversity. The results indicate:(1) ARSEI (Advanced Remote Sensing Ecological Index) is more suitable for assessing ecological environment quality in areas with air pollution compared to RSEI (Remote Sensing Ecological Index). (2) Ecological environmental quality is most strongly influenced by landscape connectivity, followed by diversity and aggregation. The driving effects of landscape aggregation, diversity, and connectivity will change around the values of 91, 0.64, and 80, respectively, all exhibiting complex nonlinear relationships.(3) Landscape patterns exhibit opposing trends in ecological benefits between urban centers and rural areas: In urban centers, landscape aggregation is negatively correlated with ecological environmental quality, while increased connectivity and diversity have positive effects; this is reversed in areas with good ecological conditions. As urbanization progresses, the positive impacts of landscape connectivity and diversity are enhanced, although the positive effects of diversity gradually diminish. (4) The combination of random forests and MGTWR offers a comprehensive and innovative perspective for analyzing driving mechanisms. Based on the findings, landscape planners should pay attention to the impact thresholds, scales of action, and spatiotemporal heterogeneity between landscape indicators and ecological environment quality.

A multidimensional machine learning framework for LST reconstruction and climate variable analysis in forest fire occurrence

Land Surface Temperature (LST) datasets play a crucial role in understanding the complex interplay between forest fires, climate variables, and vegetation dynamics. This study is divided into two primary parts: the first part investigates the predictive performance of a machine learning framework based on CatBoost and XGBoost models in estimating LST across different land cover classes in Alberta, Canada. On the test set, for LST-Day data, CatBoost and XGBoost achieved Median Absolute Errors (MedAE) of approximately 1.434 °C and 1.425 °C, respectively. For LST-Night data, also on the test set, the MedAE values were approximately 1.186 °C for CatBoost and 1.176 °C for XGBoost. The second part explores the intricate relationships between climatic variables—LST, precipitation, and relative humidity—forest fire occurrences, and vegetation dynamics in various subregions. The findings revealed complex interactions, with high LST, reduced precipitation, and humidity associated with increased forest fire activity and subsequent changes in vegetation patterns, particularly in the Central Mixedwood, Dry Mixedwood, and Montane subregions. A notable potential association was identified between high LST, reduced precipitation and humidity, and increased forest fire activity in these areas. These climate change impacts and fire events were found to influence ecological processes, altering species composition, reducing biodiversity, and potentially disrupting ecosystem services such as carbon sequestration and nutrient cycling. These insights are crucial for informing adaptive forest management strategies aimed at understanding and mitigating the cascading effects of climate change on fire regimes and vegetation dynamics in Alberta's diverse landscapes.

Leveraging Open-Source Geographic Databases to Enhance the Representation of Landscape Heterogeneity in Ecological Models.

Wildlife abundance and movement are strongly impacted by landscape heterogeneity, especially in cities which are among the world's most heterogeneous landscapes. Nonetheless, current global land cover maps, which are used as a basis for large-scale spatial ecological modeling, represent urban areas as a single, homogeneous, class. This often requires urban ecologists to rely on geographic resources from local governments, which are not comparable between cities and are not available in underserved countries, limiting the spatial scale at which urban conservation issues can be tackled. The recent expansion of community-based geographic databases, for example, OpenStreetMap (OSM), represents an opportunity for ecologists to generate large-scale maps geared toward their specific research needs. However, computational differences in language and format, and the high diversity of information within, limit the access to these data. We provide a framework, using R, to extract geographic features from the OSM database, classify, and integrate them into global land cover maps. The framework includes an exhaustive list of OSM features describing urban and peri-urban landscapes and is validated by quantifying the completeness of the OSM features characterized, and the accuracy of its final output in 34 cities in North America. We portray its application as the basis for generating landscape variables for ecological analysis by using the OSM-enhanced map to generate an urbanization index, and subsequently analyze the spatial occupancy of six mammals throughout Chicago, Illinois, USA. The OSM features characterized had high completeness values for impervious land cover classes (50%-100%). The final output, the OSM-enhance map, provided an 89% accurate representation of the landscape at 30m resolution. The OSM-derived urbanization index outperformed other global spatial data layers in the spatial occupancy analysis and concurred with previously seen local response trends, whereby lagomorphs and squirrels responded positively to urbanization, while skunks, raccoons, opossums, and deer responded negatively. This study provides a roadmap for ecologists to leverage the fine resolution of open-source geographic databases and apply it to spatial modeling by generating research-specific landscape variables. As our occupancy results show, using context-specific maps can improve modeling outputs and reduce uncertainty, especially when trying to understand anthropogenic impacts on wildlife populations.

A New Concept of Techno-Economic Institutions within Institutional Economics: Integrating Technologies and Institutional Frameworks

This study investigates the concept of techno-economic institutions within institutional economics, focusing on the integration of technologies into economic frameworks to foster development. The primary objective is to introduce and advocate for the novel concept of “techno-economic institutions,” which is essential for embedding technologies into the socio-economic environment. This research employs a comprehensive methodological approach, including theoretical analysis, literature review, comparative studies, and case studies, to develop a new analytical model and provide fresh insights. The key findings include a comparative analysis of the interplay between institutions and technologies, a variational model detailing the life cycles of General-Purpose Technologies (GPTs), and an in-depth examination of institutional roles. The econometric models developed in this study demonstrate the significant impact of ICT patents and SCM systems on government efficiency, empirically validating the proposed theoretical framework. This paper contributes to the academic discourse by offering a methodologically robust and empirically substantiated examination of technological advancements in institutional frameworks, highlighting the importance of flexible institutional structures capable of adapting to technological change. These insights provide actionable recommendations for policymakers and suggest strategic investments in technological infrastructure to enhance government performance. Future research should explore the generalizability of these findings in different institutional contexts and examine variability in technology-institution interactions across diverse geopolitical landscapes. Doi: 10.28991/ESJ-2024-08-05-022 Full Text: PDF

PROSPECTS OF EFFECTIVE USE OF TOURISM POTENTIAL AND ITS OPPORTUNITIES IN THE CONDITIONS OF UZBEKISTAN

This article discusses the prospects for the effective use of tourism potential and its opportunities in Uzbekistan. With its rich cultural heritage, historical monuments, and diverse natural landscapes, Uzbekistan has the potential to become one of the leading tourist destinations in Central Asia. The paper highlights the current state of the tourism industry in Uzbekistan, identifies challenges, and presents strategies for maximizing its potential. Key factors include infrastructural development, digital transformation, the promotion of eco-tourism, and investment opportunities. The study concludes that with the right policies and initiatives, Uzbekistan can significantly boost its tourism sector, contributing to sustainable economic growth.

Seeing the Forest for the Trees: Threats, Vulnerabilities, and Opportunities for Woody Landscape Plant Genetic Resources

Genetic resources are the foundation of American agriculture’s ongoing success—the diversity, security, health, and genetic integrity of these resources must be safeguarded. However, in contrast to other crops, protecting, managing, and using collections of woody landscape plant genetic resources present significant challenges. These include conservation of at-risk populations that have high genetic diversity, evaluation of taxa with an unknown potential to invade, and management of large specimens that have long generation times and often recalcitrant or difficult-to-store seeds. The wide diversity of taxa and the limited number of specialist curators and scholars present further challenges. Thus, effective collection, preservation, evaluation, and distribution of woody landscape plant germplasm require substantial and specialized resources. The most fundamental challenge is simple: too many built landscapes have low taxonomic diversity and are often dominated by a single taxon, or monoculture. In turn, these taxonomically and genetically depauperate landscapes are vulnerable to a host of biotic and abiotic threats and are less likely to provide ecosystem and societal services for which they were designed. To develop more resilient landscapes, there is an urgent need to expand taxonomic diversity, which requires the horticultural community to effectively acquire, curate, evaluate, distribute, and use diverse woody landscape plant genetic resources. The role of the US Department of Agriculture-Agricultural Research Service (USDA-ARS) National Plant Germplasm System (NPGS) Woody Landscape Plant Crop Germplasm Committee (WLPCGC) is to identify vulnerabilities and threats that compromise WLP crops in the United States and make recommendations for prioritization of germplasm acquisition, evaluation, research, and management priorities through regular interaction with stakeholders. Due to the breadth of genera and shifting plant genetic resource needs of the nursery industry, it is impractical to list specific threatened or priority genera in a broadly applicable crop vulnerability statement. Instead, the WLPCGC has identified themes of threats and vulnerabilities providing a foundation upon which to support prioritization as threats to specific genera emerge.